Free AWS AIF-C01 Practice Questions & Answers 2026 Part2

A company is using an Amazon Titan foundation model (FM) in Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's private data sources.Which solution will meet this requirement?

A company is building an application that needs to generate synthetic data that is based on existing data.Which type of model can the company use to meet this requirement?

A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.Which solution meets these requirements?

A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.Which action must the company take to use the custom model through Amazon Bedrock?

A company wants to build a generative AI application by using Amazon Bedrock and needs to choose a foundation model (FM). The company wants to know how much information can fit into one prompt.Which consideration will inform the company's decision?

A company acquires International Organization for Standardization (ISO) accreditation to manage AI risks and to use AI responsibly. What does this accreditation certify?

A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.What should the company do to meet these requirements?

A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level.Which solution will meet these requirements?

A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data.Which strategy will successfully fine-tune the model?

A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.What should the company do to meet these requirements?

Which functionality does Amazon SageMaker Clarify provide?

A company is building an application that needs to generate synthetic data that is based on existing data.Which type of model can the company use to meet this requirement?

A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible.Which solution will meet these requirements?

An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential dat a. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data. How should the AI practitioner prevent responses based on confidential data?

A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.Which action must the company take to use the custom model through Amazon Bedrock?

A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.Which ML strategy meets these requirements?

A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.Which evaluation metric should the company use to measure the model's performance?

An AI practitioner who has minimal ML knowledge wants to predict employee attrition without writing code. Which Amazon SageMaker feature meets this requirement? The correct answer is A because Amazon SageMaker Canvas is designed specifically for users with little or no machine learning or programming experience. It provides a visual interface to build ML models by simply uploading data, performing analysis, and generating predictions using a no-code environment. From the AWS documentation: 'Amazon SageMaker Canvas enables business analysts and other users to generate accurate ML predictions using a visual, point-and-click interface without writing code or having prior ML experience.' This feature allows the user to: Import datasets (e.g., HR data) Automatically explore the data Select the prediction column (e.g., attrition) Train the model Generate and export predictions Explanation of other options: B . SageMaker Clarify is used to detect bias and explain ML predictions but not to build models or make predictions without code. C . SageMaker Model Monitor monitors model quality in production but doesn't build or train models. D . SageMaker Data Wrangler is used for data preprocessing and transformation but still requires some technical configuration. Referenced AWS AI/ML Documents and Study Guides: Amazon SageMaker Canvas Developer Guide AWS Certified Machine Learning Specialty Study Guide -- AutoML and No-Code Tools Section AWS Machine Learning Blog: ''Predict Employee Attrition with SageMaker Canvas''

A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.Which solution will meet these requirements?

A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?

A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.What should the AI practitioner include in the report to meet the transparency and explainability requirements?

Which functionality does Amazon SageMaker Clarify provide?

A financial company is developing a fraud detection system that flags potential fraud cases in credit card transactions. Employees will evaluate the flagged fraud cases. The company wants to minimize the amount of time the employees spend reviewing flagged fraud cases that are not actually fraudulent.Which evaluation metric meets these requirements?

An ecommerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.Which AWS services meet these requirements? (Choose two.)

A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.Which evaluation metric should the company use to measure the model's performance?

A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3).The FM encounters a failure when attempting to access the S3 bucket data.Which solution will meet these requirements?

A student at a university is copying content from generative AI to write essays.Which challenge of responsible generative AI does this scenario represent?

A food service company wants to develop an ML model to help decrease daily food waste and increase sales revenue. The company needs to continuously improve the model ' s accuracy.Which solution meets these requirements?

A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.Which solution will meet these requirements?

A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.Which solution meets these requirements?

A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency.Which SageMaker inference option meets these requirements?

A company plans to build an AI model for the company's global customer base. The company wants to train the model on a dataset that reflects user diversity.Which action will meet this requirement?

A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.Which solution will meet these requirements?

An ecommerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.Which AWS services meet these requirements? (Choose two.)

A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children.Which AWS service or feature will meet these requirements?

A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams.Which SageMaker feature meets these requirements?

A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.What should the company do to meet these requirements?

How can companies use large language models (LLMs) securely on Amazon Bedrock?

A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer. What can Amazon Q Developer do to help the company meet these requirements? Amazon Q Developer is a tool designed to assist developers in increasing productivity by generating code snippets, managing reference tracking, and handling open-source license tracking. These features help developers by automating parts of the software development process. Option A (Correct): 'Create software snippets, reference tracking, and open-source license tracking': This is the correct answer because these are key features that help developers streamline and automate tasks, thus improving productivity. Option B: 'Run an application without provisioning or managing servers' is incorrect as it refers to AWS Lambda or AWS Fargate, not Amazon Q Developer. Option C: 'Enable voice commands for coding and providing natural language search' is incorrect because this is not a function of Amazon Q Developer. Option D: 'Convert audio files to text documents by using ML models' is incorrect as this refers to Amazon Transcribe, not Amazon Q Developer. AWS AI Practitioner Reference: Amazon Q Developer Features: AWS documentation outlines how Amazon Q Developer supports developers by offering features that reduce manual effort and improve efficiency.

A company is using Amazon SageMaker AI to develop AI/ML solutions. The company must use only approved data for model training. The AI/ML solutions must comply with company policy and ethical guidelines.Which solution will meet these requirements?

An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.Which technique will solve the problem?

A student at a university is copying content from generative AI to write essays.Which challenge of responsible generative AI does this scenario represent?

A company is building an application that needs to generate synthetic data that is based on existing data.Which type of model can the company use to meet this requirement?

A design company is using a foundation model (FM) on Amazon Bedrock to generate images for various projects. The company wants to have control over how detailed or abstract each generated image appears.Which model parameter should the company modify?

A company is building an application that needs to generate synthetic data that is based on existing data.Which type of model can the company use to meet this requirement?

A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model. The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure. Which solution will meet these requirements?

Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?

A food service company wants to develop an ML model to help decrease daily food waste and increase sales revenue. The company needs to continuously improve the model's accuracy. Which solution meets these requirements?

A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.Which action must the company take to use the custom model through Amazon Bedrock?

A company is building an application that needs to generate synthetic data that is based on existing data.Which type of model can the company use to meet this requirement?

A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.Which action must the company take to use the custom model through Amazon Bedrock?

A loan company is building a generative AI-based solution to offer new applicants discounts based on specific business criteria. The company wants to build and use an AI model responsibly to minimize bias that could negatively affect some customers.Which actions should the company take to meet these requirements? (Choose two.)

An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort.Which strategy meets these requirements?

A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that employees provide. The employees have minimal experience with technology.Which solution meets these requirements?

A bank is fine-tuning a large language model (LLM) on Amazon Bedrock to assist customers with questions about their loans. The bank wants to ensure that the model does not reveal any private customer data. Which solution meets these requirements?

A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.Which action must the company take to use the custom model through Amazon Bedrock?

A company wants to display the total sales for its top - selling products across various retail locations in the past 12 months. Which AWS solution should the company use to automate the generation of graphs?

How can companies use large language models (LLMs) securely on Amazon Bedrock?

A company wants to use a large language model (LLM) to generate product descriptions. The company wants to give the model example descriptions that follow a format.Which prompt engineering technique will generate descriptions that match the format?

A company wants to build an interactive application for children that generates new stories based on classic stories. The company wants to use Amazon Bedrock and needs to ensure that the results and topics are appropriate for children. Which AWS service or feature will meet these requirements?

A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.What should the company do to meet these requirements?

An ML research team develops custom ML models. The model artifacts are shared with other teams for integration into products and services. The ML team retains the model training code and data. The ML team wants to build a mechanism that the ML team can use to audit models. Which solution should the ML team use when publishing the custom ML models?

A company is building an application that needs to generate synthetic data that is based on existing data.Which type of model can the company use to meet this requirement?

An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.Which technique will solve the problem?

A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.Which capabilities can the company show compliance for? (Choose two.)

A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.What should the company do to meet these requirements?

A company wants to create an application by using Amazon Bedrock. The company has a limited budget and prefers flexibility without long-term commitment.Which Amazon Bedrock pricing model meets these requirements?

A company needs to build its own large language model (LLM) based on only the company's private data. The company is concerned about the environmental effect of the training process.Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?

A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images.Which solution will meet these requirements?

What is an example of structured data?